Herbig, M.; Choi, P.; Raabe, D.: Atom Probe Tomography and Correlative TEM/APT at the MPIE. Inauguration of the Atom Probe at the Institute for Physics IA at the RWTH Aachen, Aachen, Germany (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative TEM and APT. TMS 2014, Solid-State Interfaces III Symposium, San Diego, CA, USA (2014)
Herbig, M.; Choi, P.-P.; Raabe, D.: Atom Probe Tomography and Correlative TEM/APT at the MPIE. Mini-Symposium Atom Probe Tomography, National APT Facility Eindhoven, TU Delft, Delft, The Netherlands (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.-P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative Transmission Electron Microscopy and Atom Probe Tomography. International Conference on Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Choi, P.: Characterization of κ-carbide precipitates in austenitic Fe–Mn–Al–C steels using atom probe tomography. Thermec 2013, Las Vegas, NV, USA (2013)
Herbig, M.; Raabe, D.; Li, Y. J.; Choi, P.; Zaefferer, S.; Goto, S.: Quantification of Grain Boundary Segregation in Nanocrystalline Material. Seminar at Department Microstructure Physics and Alloy Design, MPI für Eisenforschung, Düsseldorf, Germany (2013)
Herbig, M.; Choi, P.; Raabe, D.: Combining Structural and Chemical Information on the nm Scale by Correlative TEM and APT Characterization. European Atom Probe Workshop 2013 at ETH Zürich, Zürich, Switzerland (2013)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…